Issue 2 (212), article 2


Cybernetics and Computer Engineering, 2023, 2(212)

Bondar S.O.,
Acting Head of Intelligent Control Department,

Shepetukha Yu.M., PhD (Engineering), Senior Researcher,
Leading Researcher of the Intelligent Control Department

International Research and Training Center for Information
Technologies and Systems of the National Academy of Science
and Ministry of Education and Science of Ukraine.
40, Acad. Glushkov ave., 03187, Kyiv, Ukraine


Introduction. Among the current tasks of digitization of built immovable infrastructure objects, the task of building digital models of external and internal parts of such objects, creating electronic passports of objects, SMART models of cities, etc. is highlighted. During the surveying of streets and objects to create digital models of cities and maintain a database of these objects, there is a need to use unmanned aerial vehicles (UAVs), but. not all types of aircraft are suitable for performing combined digitization tasks

The purpose of the paper is to justify of the type and model choice of an unmanned aerial vehicle as a means of creating digital models of the investigated infrastructure objects and the development of a method for combined control of the movement of such an apparatus to perform the tasks of obtaining visual data for the construction of digital 3D models of the investigated immovable infrastructure objects.

The results. In order to make a justified choice of the type of UAV as a tool for the implementation of digitalization tasks, an ontological model was built based on the defined technical and structural characteristics of various types of UAV. The analysis of the created ontological model made it possible to determine the hybrid type of UAV based on the largest number of relationships “type of UAV – task conditions” as links between technical characteristics and the possibility of flight modes with certain features of the digitalization tasks.

For the most common data collection tasks for the digitization of infrastructural objects, a method of combined UAV motion control has been developed, which combines the stages of sequential use of control of two hybrid UAV motion modes: helicopter and airplane, depending on the characteristics of the specific task.

Conclusions. The developed ontological model has a hierarchical nature and covers such structural elements as the type and subtype of an unmanned aerial vehicle, its technical and structural characteristics, possible flight modes and characteristics, types of digitization tasks, and relationships/connections between them. The analysis of the created ontological model and the results of simulations and test flights of the UAV made it possible to choose a hybrid type of UAV.

The developed method of combined UAV motion control is based on control models for the main channels, combines autonomous and operator control modes and provides for the sequential application of the capabilities of aircraft and helicopter flight modes, which provides the possibility of using different models of hybrid UAVs to perform the tasks of collecting visual data for construction digital models of immovable infrastructure objects.

Keywords: unmanned aerial vehicle, ontological model, combined control method, models for main control channels, visual data, digital object models.

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1. Reyes-Pena C., Tovar-Vidal M. Ontology: Components and Evaluation, a Review. Research in Computing Science , 2019, 148(3), pp. 257-265.

2. Hlomani, H., Stacey, D.: Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: A survey. Semantic Web Journal, 2014, 1(5).

3. Martinez-Gil, J., Alba, E., Aldana-Montes, J.F. Optimizing ontology alignments by using genetic algorithms. In: Proceedings of the workshop on nature based reasoning for the semantic Web. Karlsruhe, Germany, 2008.

4. Bittner T. From Top-Level to Domain Ontologies: Ecosystem Classifications as a Case Study. Proceedings of 8th International Conference: Spatial Information Theory, , COSIT 2007, Melbourne, Australia, September 19-23, 2007, pp 61-77.

5. Dwivedi S.R., Kumar A. Ontology Exemplification and Modeling for aSPOCMS in the Semantic Web. International Journal of Computer Information Systems and Industrial Management Applications, 2013, Vol.5, pp. 542-549;

6. Palagin O.V., Petrenko M.G. A model of the categorical level of the linguistic ontological picture of the world. Mathematical machines and systems. 2006. No. 3. P. 91-104. (in Ukrainian)

7. Ren, S., Lu, X., Wang, T. Application of ontology in medical heterogeneous data integration. In: Big Data Analysis (ICBDA), 2018 IEEE 3rd International Conference, pp. 150-155.

8. Gritsenko V.I., Gladun A.Ya., Khala K.O., MARTINEZ-BEJAR R. Semantical Similarity Evaluation Method of Concepts for Comparison of Ontologies in Applied Problems of Artificial Intelligence. Cybernetics and Computer Engineering. 2021. N 3 (205), pp 5-25.

9. Pidnebesna H., Stepashko V. Construction of an ontology as a metamodel of the inductive modeling subject area. Advanced Computer Inform. Technologies : ACIT-2018 : 8th intern. conf. : Ceske Budejovice, Czech Republic, June 1-3, 2018, pp. 137-140;

10. Pavlov A., Pidnebesna H., Stepashko V. Ontology application to construct inductive modeling tools with intelligent interface. Control Systems and Computers. 2020. No 4. pp. 44-55.

11. Stepashko V.S., Savchenko-Syniakova Ye.A., Pidnebesna H.A. Problem of Constructing an Ontological Metamodel of Iterative GMDH Algorithms. Cybernetics and Computer Engineering. 2022. No. 3 (209). pp. 21-33

12. Resource Description Framework (RDF)

13. Knowledge Interchange Format. URL:

14. A free, open-source ontology editor and framework for building intelligent systems. URL:

15. Ambite J.L., Chaudhri V.K., Fikes R., Jenkins Je., Mishra S., Muslea M., UribeT., Yang G. Design and implementation of the CALO query manager. Proceedings of the National Conference on Artificial Intelligence, 2006.

16. Beard R.W., McLain T.W. Small Unmanned Aircraft: Theory and Practice. Princeton University Press, 2012, 320 p.

17. Grytsenko V.I., Volkov O.E., Komar M.M., Bogachuk Y.P. Intellectualization of modern systems of automatic control of unmanned aerial vehicles. Cybernetics and Computer Engineering, 2018. No. 1 (191), pp. 45-59. (in Ukrainian)

Received 16.05.2023